Here are the General Unix course offerings:
TechNow is in no way associated with SANS or GIAC, but has courses that are similar in subject matter:
- TN-345: Python for Penetration Testers
- TN-865: Wireshark Network Traffic and Security Analysis
- TN-901: Linux for Security Professionals
- TN-909: Windows Forensic Analysis
- TN-913: Cloud Security Fundamentals
- TN-919: Penetration Tester Course
- TN-929: Security Essentials Training Course
- TN-939: Hacker Techniques, Exploits, and Incident Handling Course
- TN-949: Certified Firewall Analyst Course
- TN-959: UNIX Security Administrator Course
- TN-969: Windows Security Administrator Course
- TN-979: Intrusion Analyst Course
- TN-989: Advanced Penetration Testing, Exploits, and Ethical Hacking Course
- TN-999: Reverse Engineering Malware Course
Course Overview:
PA-222: Palo Alto Networks Panorama Essentials Training Class is a two-day course that teaches students to configure and manage the Palo Alto Networks Panorama management server. Through hands-on training, students learn high end skills of how to integrate Palo Alto Networks next-generation firewalls into their network infrastructure and manage them with Palo Alto Networks Panorama management server.This is not a virtualized theoretical course. This is hands-on, real world in the classroom instructor led with lab assistance, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls and their enterprise management.
Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk. Real hardware per student for real experience and real skill development. TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.
The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies. Additionally, the instructor has taught several security appliance products and carries several SANS, Cisco, Unix, and Windows certifications.
Attendees to the Palo Alto Networks Panorama Essentials Training Course will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration 2 days
Course Objectives:
Students attending this foundational-level training course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks Panorama management server, including hands-on experience in configuring the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks Operating System (PAN-OS) through Panorama.
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Prerequisites:
- Security+, Network+, Palo Alto Networks Firewall Essentials FastTrack and networking experience is recommended.
This course is in no way associated with Palo Alto Networks, Inc.
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Course Overview:
Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration. TechNow’s Ansible course facilitates the dynamic IT infrastructure through automation.
This course also supports DevOps practices through Ansible playbooks automating workflows. TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.
This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
- An introduction to Ansible
- Install and configure Ansible development tools in VS Code and configure Ansible setting
- Create and update inventories of managed hosts and manage connections to them
- Automate administration tasks with Ansible Playbooks
- Write effective playbooks at scale
- Protect sensitive data used by Ansible Automation Platform with Ansible Vault
- Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
- Developing Automation Content: Variables, Task Control, Deploying Files
- Developing Automation Content at Scale
- Reusing Code with Ansible Roles and Content Collections
- Automate Linux Administration Tasks
Prerequisites:
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CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.
SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.
Course Objectives:
- Apply AI concepts to strengthen your organization’s cybersecurity posture
- Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
- Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
- Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
- Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
- Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
Dates/Locations:
No Events
Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended
SecAI+ (V1) exam objectives summary
Basic AI concepts related to cybersecurity (17%)
- Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
- Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
- Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
Securing AI systems (40%)
- Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
- Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
- Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.
AI-assisted security (24%)
- Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
- Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
- Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.
AI governance, risk, and compliance (19%)
- Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
- Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
- Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.